Title :
A fully adaptive comb filter for enhancing block-coded speech
Author :
Veeneman, Dale E. ; Mazor, Baruch
Author_Institution :
GTE Lab. Inc., Waltham, MA, USA
fDate :
6/1/1989 12:00:00 AM
Abstract :
Framing noise is a distortion present in block-coded speech that is caused by discontinuities at frame boundaries. A comb filter that is adapted nonpitch-synchronously has been developed that it is very effective in reducing this distortion. An optimal, minimum mean-squared-error approach is applied to determine the filter coefficients and adapt them to the short-time statistics of the speech. This filter has also proven effective in enhancing speech corrupted by other noise sources
Keywords :
adaptive filters; encoding; filtering and prediction theory; interference suppression; speech analysis and processing; adaptive comb filter; block-coded speech; discontinuities; distortion; filter coefficients; frame boundaries; framing noise; minimum mean-squared-error approach; short-time statistics; speech enhancement; Acoustic noise; Adaptive filters; Additive white noise; Filtering; Frequency; Noise reduction; Power harmonic filters; Source coding; Speech enhancement; Statistics;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/ASSP.1989.28070
